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Hard thresholding regression
In this paper, we propose the hard thresholding regression (HTR) for estimating high-dimensional sparse linear regression models. HTR uses a two-stage convex algorithm to approximate the ℓ(0)-penalized regression: The first stage calculates a coarse initial estimator, and the second stage identifies...
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| 出版年: | Scand Stat Theory Appl |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7558802/ https://ncbi.nlm.nih.gov/pubmed/33071430 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/sjos.12353 |
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